Artificial Intelligence: Strategies, Applications and Models Through Search / Edition 2

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Overview

This innovative book on artificial intelligence (AI) uses the unifying thread of Search to bring together the major application and modeling techniques that use symbolic AI. Comprehensive yet practical, this book will be of great value those experienced in AI, as well as to students with some programming background and academics and professionals lookit for a precise discussion of AI through Search.
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Editorial Reviews

Booknews
Uses the unifying thread of search in problem-solving systems to bring together the major applications and modeling techniques that use symbolic artificial intelligence (AI). Each chapter covers one technique, and develops both a POP-11 implementation and a Prolog implementation of the technique. The early chapters are concerned with variations of state space search while the later chapters concentrate on variations of problem reduction. The book was initially written for a first year course in AI at the University of Sussex. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780814404706
  • Publisher: AMACOM
  • Publication date: 12/28/1998
  • Edition description: Subsequent
  • Edition number: 2
  • Pages: 370
  • Product dimensions: 6.25 (w) x 9.33 (h) x 0.95 (d)

Table of Contents

1 Search-Related Techniques in AI 1
2 Simple State Space Search 15
3 State Space Search 43
4 Heuristic State Space Search 71
5 Heuristic Search of Game Trees 107
6 Problem Reduction (AND/OR-tree search) 133
7 Planning (microworld search) 171
8 Parsing (search as analysis) 201
9 Expert Systems (probabilistic search) 243
10 Concept learning (description search) 267
11 Prolog (search as computation) 293
References 321
App. A Introduction to POP-11 325
Index 359
App. B Where to get the source code 365
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